RESEARCH · GLOBAL
Fundamental LLM architecture flaw leaves models vulnerable to systematic attack
Researchers at MIT Technology Review report that large language models contain an architectural flaw making them impossible to fully secure against certain attack vectors. The vulnerability is inherent to how LLMs process and store information internally.
WHY IT MATTERS
If true, implies BFSI deployment of LLMs in regulated workflows (anti-money laundering, fraud detection, credit decisions) requires assume-breach posture; risk models must account for model-level failures, not just data-level ones.